CrowdStrike – Hiring for Sr. Engineer, Cloud Native – AI Detection and Response (AIDR) (Hybrid) @Sunnyvale, CA. Austin, TX. Redmond, WA

About Company

CrowdStrike is a premier global cybersecurity titan that has redefined modern enterprise defense with its advanced, cloud-native Falcon platform. Processing approximately 3 trillion security telemetry events per day, CrowdStrike delivers automated breach prevention at a scale matched by very few engineering companies on earth.

The AI Detection and Response (AIDR) division is actively expanding its technical core. CrowdStrike is seeking an experienced, high-caliber Senior Software Development Engineer (Cloud Native) to architect and build next-generation cloud services dedicated to mitigating sophisticated AI-based security threats.

Job Details

Job Description

The Senior Cloud-Native Engineer for AIDR is a high-impact, individual contributor role positioned at the bleeding edge of modern cybersecurity. As generative AI models and autonomous agent ecosystems proliferate across enterprises, malicious actors are leveraging AI to orchestrate rapid, evasive, and sophisticated cyberattacks.

The AIDR cloud team is responsible for building the real-time protection fabrics that detect, intercept, and neutralize these threats.

Requirements

• Professional Tenure: Minimum of 10+ years of professional software development experience building resilient, enterprise-grade products.
• Cloud-Native Systems: 5+ years of specific, hands-on experience designing, deploying, and maintaining microservices running in highly distributed, cloud-native environments.
• Programming Mastery: Expert-level proficiency in at least one modern, performance-oriented cloud-native programming language—with a strong organizational preference for Go (Golang), Python, or Java.
• API Architecture: Deep operational knowledge of highly performant web services, streaming APIs, and serialization protocols, specifically gRPC, REST, and Protocol Buffers.
• Data Tier Proficiency: Comprehensive experience managing transactional and caching data persistence layers at scale, including PostgreSQL and Redis.
• Container Orchestration: Expert capability with containerized execution models and cluster management systems, specifically Docker and Kubernetes.
• Multi-Cloud Deployment: A proven track record of architecting and launching large-scale services across at least one primary cloud provider: Amazon Web Services (AWS), Google Cloud Platform (GCP), Oracle Cloud Infrastructure (OCI), or Microsoft Azure.
• Preferred & Bonus Qualifications:
• Prior engineering background within cybersecurity corporations or focused security product teams.
• Deep conceptual or practical mastery of AI/ML security challenges, adversarial machine learning attacks (e.g., prompt injection, data poisoning, model inversion), and corresponding mitigation frameworks.
• Experience operating within massive real-time data streaming and log aggregation fabrics (Kafka, Apache Pulsar, or Splunk).
• Active contributions to open-source software libraries, frameworks, or cloud-native toolsets.
• Hands-on familiarity with the Microsoft CoPilot Ecosystem and Microsoft Agent Studio frameworks.

Roles and Responsibilities

• Microservice Architecture: Design, implement, and scale ultra-low-latency microservices, structural frameworks, and platform libraries capable of processing massive parallel event streams seamlessly.
• Platform Reusability: Build shared platform code and reusable code libraries to accelerate velocity and enforce engineering standards across distinct corporate engineering pipelines.
• Performance Diagnostics: Conduct detailed system profiling, deep debugging, and continuous performance optimization loops to minimize processing bottlenecks across distributed architectures.
• Quality & Verification: Author comprehensive automated testing architectures targeting distributed environment simulation, high concurrency stress modeling, and system reliability metrics.
• Root Cause Analysis (RCA): Lead complex technical deep-dives and root cause investigations for high-priority production system anomalies, deploying permanent preventive mechanisms to guarantee operational resilience.
• Technical Governance: Conduct thorough, security-focused code and design reviews, enforcing strict paradigms for testability, multi-tenant boundaries, and scalable data structure design.
• Mentorship & Coaching: Train, guide, and mentor junior and mid-level software developers on secure coding principles, high-performance cloud design patterns, and automated testing methodologies.

How to Apply?

Role Summary

In this role, you will architect, implement, and support distributed, enterprise-grade cloud systems capable of handling millions of incoming AI security events per second while managing petabytes of low-latency data. This is an environment that treats infrastructure purely as a highly optimized software engineering challenge, demanding innovative problem solvers who can drive technical decisions independently across multi-cloud environments.

Company Culture & Insights

Life as a “CrowdStriker” is anchored by a singular, unchanging objective: We stop breaches. Because the assets protected by the Falcon platform support critical infrastructure, global banking systems, healthcare networks, and government operations, the technical culture maintains a zero-compromise attitude toward reliability and security.

CrowdStrike cultivates a culture built on structural flexibility and individual autonomy. Engineers are empowered to own their architectural decisions and direct their career trajectories. The environment is highly collaborative, technical, and fast-paced—rewarding relentless focus, empirical reasoning, and a passion for overcoming unprecedented engineering challenges.

Why We Recommend This Job

• True Global Scale Engineering: Many organizations claim to operate at “scale,” but processing trillions of real-time actions daily places CrowdStrike in a unique tier of distributed computing. The engineering knowledge gained here regarding high-consequence system behavior is universally valued.
• The Next Frontier of Security: Mitigating AI-driven cyber threats (AIDR) is one of the fastest-growing and most critical engineering specializations of this decade. Entering this domain now guarantees your technical skills remain highly relevant.
• Multi-Cloud Tooling Mastery: Direct, hand-on engineering across AWS, GCP, and OCI using Go, Kubernetes, and gRPC ensures your market currency as a top-tier Cloud-Native Architect remains exceptionally strong.

Career Growth Potential

• CrowdStrike features a well-defined, performance-driven professional engineering ladder tailored for high-velocity career progression:
• Senior Software Engineer ➔ Principal Cloud Engineer ➔ Staff Engineer / Technical Director ➔ Chief Cloud Architect / Fellow
• As a Senior Engineer within the AIDR Cloud team, your initial impact spans across defining critical services, optimization workflows, and mentorship blocks. As your system-wide execution patterns expand, your technical scope elevates to designing cross-platform infrastructure patterns, driving architectural shifts across multiple global teams, and defining how the organization leverages next-generation cloud resources.

Skills You’ll Gain

Salary & Benefits Info

• Base Salary Range: $140,000 – $215,000 per year, finalized based on geographic placement location, depth of distributed computing background, and technical presentation.
• Equity & Incentives: Eligible for premium stock/equity awards, performance bonuses, and annual compensation adjustments.
• Health & Wellness: Comprehensive physical and mental wellness programs, premium medical, dental, and vision insurance tracks.
• Time Off: Highly competitive vacation allocations, company holidays, and fully paid parental and adoption leaves.
• Workspace Culture: Vibrant hybrid offices with world-class amenities, geography-based neighborhood networking groups, and volunteer tracks.

Frequently Asked Interview Questions

1. Distributed System Synchronization: “Imagine our gRPC ingestion framework is experiencing a sudden burst of millions of incoming requests per second, causing downstream PostgreSQL connection exhaustion. How would you design a backpressure or distributed caching mechanism using Redis to buffer the load without dropping security events?”
2. Golang Concurrency & Memory Management: “Can you explain how the Go runtime scheduler channels goroutines across logical processors? How do you diagnose and mitigate a memory leak or goroutine leak within an asynchronous streaming pipeline?”
3. Data Serialization Protocol Efficiency: “Why do high-throughput architectures select Protocol Buffers and gRPC over standard REST JSON endpoints? Discuss the structural and computational differences regarding CPU cycles and payload size over the wire.”
4. Complexity Context: Converting large objects to standard JSON text strings requires heavy $O(n)$ string parsing and allocation operations, inflating network payloads. Protocol Buffers store fields as raw, packed binary arrays, allowing instantaneous byte-level parsing that optimizes memory allocation profiles during high-volume transfers.
5. AI/ML Threat Identification: “If an enterprise is exposing an LLM agent to external public queries, what are the primary network-level vectors for a prompt injection attack? How can we engineer automated cloud filters to intercept malicious semantic manipulation before it hits the model runtime?”

Behavioral & Culture Questions

1. Driving Operational Excellence: “Describe a situation in your career where a highly distributed production system failed catastrophically under your watch. Walk me through your concrete debugging methodology, how you managed stakeholder communications, and the structural root cause analysis (RCA) changes you implemented to prevent reoccurrence.”
2. Constructive Architectural Disagreement: “Tell me about a time when you strongly disagreed with a fellow principal architect regarding a core design path (e.g., opting for a SQL database vs. a NoSQL stream). How did you leverage empirical data, code profiling, or architectural trade studies to drive an optimal team decision?”
3. Mentorship Under Pressure: “As a senior team member, how do you balance maintaining your own fast-paced feature delivery deadlines while actively dedicating time to code-review, train, and coach junior engineers on secure cloud development habits?”